-
Notifications
You must be signed in to change notification settings - Fork 0
/
handtracking.py
61 lines (51 loc) · 2.11 KB
/
handtracking.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
from unittest import result
import cv2 as cv
import mediapipe as mp
class handDetector():
def __init__(self, mode = False, maxHands = 2, detectionCon = 0.5,
trackCon = 0.5):
self.mode = mode
self.maxHands = maxHands
self.detectionCon = detectionCon
self.trackCon = trackCon
self.mpHands = mp.solutions.hands
self.hands = self.mpHands.Hands() #self.mode,self.maxHands, self.detectionCon,self.trackCon)
self.mpDraw = mp.solutions.drawing_utils
def findHands(self, img,draw = True):
imgRGB = cv.cvtColor(img, cv.COLOR_BGR2RGB)
self.results = self.hands.process(imgRGB)
if self.results.multi_hand_landmarks:
for handLms in self.results.multi_hand_landmarks:
if draw:
self.mpDraw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS)
return img
def findPosition(self, img, handNo = 0, draw =True):
lmList = []
if self.results.multi_hand_landmarks:
myHand = self.results.multi_hand_landmarks[handNo]
for id, lm in enumerate(myHand.landmark):
h, w, c = img.shape
cx, cy = int(lm.x*w), int(lm.y*h)
lmList.append([id,cx,cy])
if draw:
cv.circle(img, (cx,cy),10, (255,0,0),cv.FILLED)
return lmList
def displayTracking():
cap = cv.VideoCapture(0)
detector = handDetector()
while True:
success, img = cap.read()
if success:
#will find all hands in frame
#draw = True by default
img = detector.findHands(img)
#will return positions of all landmarks
#draw = True by default
lmList = detector.findPosition(img)
cv.imshow("Image", img)
k = cv.waitKey(5) & 0xFF
if k == 27:
break
else:
print("No VideoCapture Detected :C")
break;